public class Mean extends Sum
finalResult, isComplex, keepDims, newFormat
extraArgs, extraArgz, n, numProcessed, passThrough, x, xVertexId, y, yVertexId, z, zVertexId
dimensions, inPlace, sameDiff, scalarValue
Constructor and Description |
---|
Mean() |
Mean(INDArray x) |
Mean(INDArray x,
INDArray y) |
Mean(INDArray x,
INDArray y,
INDArray z) |
Mean(INDArray x,
INDArray y,
INDArray z,
long n) |
Mean(INDArray x,
INDArray y,
long n) |
Mean(SameDiff sameDiff,
SDVariable i_v,
int[] dimensions) |
Mean(SameDiff sameDiff,
SDVariable i_v,
SDVariable i_v2,
int[] dimensions) |
Modifier and Type | Method and Description |
---|---|
List<SDVariable> |
doDiff(List<SDVariable> i_v1)
The actual implementation for automatic differentiation.
|
String |
onnxName()
The opName of this function in onnx
|
String |
opName()
The name of the op
|
int |
opNum()
The number of the op (mainly for old legacy XYZ ops
like
Op ) |
String |
tensorflowName()
The opName of this function tensorflow
|
calculateOutputShape, getFinalResult, hasReductionIndices, initFromOnnx, initFromTensorFlow, isComplexAccumulation, isKeepDims, noOp, opType, setFinalResult, zeroDouble, zeroFloat, zeroHalf
equals, exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, getOpType, hashCode, init, isExecSpecial, isPassThrough, n, numProcessed, outputVariables, setN, setX, setY, setZ, toCustomOp, toString, x, y, z
arg, args, asProperties, attributeAdaptersForFunction, configFieldName, diff, dup, f, getValue, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariables, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, init, isExecSpecial, isPassThrough, n, numProcessed, setExtraArgs, setN, setX, setY, setZ, toCustomOp, x, y, z
public Mean(SameDiff sameDiff, SDVariable i_v, int[] dimensions)
public Mean(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions)
public Mean()
public Mean(INDArray x)
public int opNum()
DifferentialFunction
Op
)public String opName()
DifferentialFunction
public List<SDVariable> doDiff(List<SDVariable> i_v1)
DifferentialFunction
public String onnxName()
DifferentialFunction
public String tensorflowName()
DifferentialFunction
tensorflowName
in class Sum
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